Associate Nuclear Engineering Technology Jobs in Minnesota

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com . Follow us on LinkedIn (https://www.linkedin.com/company/bwx-technologies/mycompany/?viewAsMember=true) , X (https://twitter.com/BWXT) , Facebook (https://www.facebook.com/BWXTech) and Instagram (https://www.instagram.com/bwxtechnologies/).

We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you're an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.

If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques, hybrid modeling approaches, and uncertainty quantification to tackle complex problems in nuclear engineering and related domains. This role is perfect for someone with a strong research background, experience in integrating machine learning models into engineering workflows, and a passion for applying cutting-edge AI technologies to real-world challenges in the nuclear industry.

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

• Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
• Design hybrid modeling frameworks that combine physics-based and data-driven approaches for applications such as critical heat flux prediction and reactor physics simulations.
• Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems.
• Optimize nuclear engineering processes using advanced AI methodologies, including transfer learning and generative models.
• Collaborate with cross-functional teams to integrate ML models into existing nuclear engineering tools.
• Lead efforts in data augmentation, synthetic data generation, and domain adaptation to enhance model performance in data-scarce scenarios.

• A minimum of a bachelor's degree in Nuclear Engineering, Computer Science, or a related field, with a strong focus on machine learning and artificial intelligence.
• A minimum of ten (10) years of relevant experience is required.
• Must have proven expertise in deep learning frameworks such as TensorFlow and PyTorch.
• Must be proficient in programming languages and tools, including Python, C++, and MATLAB.
• Must have experience with nuclear codes such as MCNP, Serpent, OpenMC, and CTF.
• Must have demonstrated ability to develop and validate hybrid modeling techniques in nuclear engineering contexts.
• Must be familiar with uncertainty quantification methods and transfer learning techniques.
• Must have strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering.
• Must be excellent communication skills and ability to present complex technical concepts to diverse audiences.
• Must be a U.S. citizen.
• Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance as required.